Personalizing Immune Checkpoint Inhibitor Therapy
Personalizing Immune Checkpoint Inhibitor Therapy for Solid Tumors
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Overall Goal: The long-term goal of this study is to predict whether checkpoint inhibitors will be effective in individual patients with solid tumors.
Objectives: In this pilot study to be conducted in ten subjects with lung cancer who are to receive checkpoint inhibitors, we will use cellular and molecular techniques to characterize
- tumor immunogenicity
- anti-tumor T-cell response
- effect of checkpoint inhibitors on antigen presentation and T-cell response, and
- the tumor microenvironment
Planned enrollment:
• Ten subjects with lung cancer
Methods for Informed Consent:
Investigators will approach subjects for informed consent
Study Type
Study Type
Contacts and Locations
Study Locations
-
-
Maryland
-
Silver Spring, Maryland, United States, 20910
- Holy Cross Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Subjects with lung cancer about to undergo diagnostic/excisional biopsy with the intent to receive therapy with immune checkpoint inhibitors
- Availability of fresh tumor tissue removed at excisional biopsy or diagnostic biopsy
- Informed consent
Exclusion Criteria:
• Lack of informed consent
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Only
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Anti-tumor immune response
Time Frame: 12 months
|
Tumor antigen presentation and anti-tumor T-cell response
|
12 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Clinical response
Time Frame: 12 months for each subject
|
Clinical response is defined as 50% or greater decrease of the sum of the products of two-dimensional measurements of lesions on imaging within the first year.
|
12 months for each subject
|
|
Tumor microenvironment
Time Frame: 24 months total study duration
|
Tumor mutation burden from tumor genome landscape using DNA sequencing, tumor transcriptome with RNA sequencing, tumor infiltrating immune cells with flow cytometry
|
24 months total study duration
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
General Publications
- Sindhi R, Ashokkumar C, Higgs BW. Cellular alloresponses for rejection-risk assessment after pediatric transplantation. Curr Opin Organ Transplant. 2011 Oct;16(5):515-21. doi: 10.1097/MOT.0b013e32834a94e3.
- Ashokkumar C, Talukdar A, Sun Q, Higgs BW, Janosky J, Wilson P, Mazariegos G, Jaffe R, Demetris A, Dobberstein J, Soltys K, Bond G, Thomson AW, Zeevi A, Sindhi R. Allospecific CD154+ T cells associate with rejection risk after pediatric liver transplantation. Am J Transplant. 2009 Jan;9(1):179-91. doi: 10.1111/j.1600-6143.2008.02459.x. Epub 2008 Oct 31.
- Ningappa M, Ashokkumar C, Higgs BW, Sun Q, Jaffe R, Mazariegos G, Li D, Weeks DE, Subramaniam S, Ferrell R, Hakonarson H, Sindhi R. Enhanced B Cell Alloantigen Presentation and Its Epigenetic Dysregulation in Liver Transplant Rejection. Am J Transplant. 2016 Feb;16(2):497-508. doi: 10.1111/ajt.13509. Epub 2015 Dec 11.
- Ranganathan S, Ningappa M, Ashokkumar C, Higgs BW, Min J, Sun Q, Schmitt L, Subramaniam S, Hakonarson H, Sindhi R. Loss of EGFR-ASAP1 signaling in metastatic and unresectable hepatoblastoma. Sci Rep. 2016 Dec 2;6:38347. doi: 10.1038/srep38347.
- Vinayak R, Cruz RJ Jr, Ranganathan S, Mohanka R, Mazariegos G, Soltys K, Bond G, Tadros S, Humar A, Marsh JW, Selby RR, Reyes J, Sun Q, Haberman K, Sindhi R. Pediatric liver transplantation for hepatocellular cancer and rare liver malignancies: US multicenter and single-center experience (1981-2015). Liver Transpl. 2017 Dec;23(12):1577-1588. doi: 10.1002/lt.24847.
- Cruz RJ Jr, Ranganathan S, Mazariegos G, Soltys K, Nayyar N, Sun Q, Bond G, Shaw PH, Haberman K, Krishnamurti L, Marsh JW, Humar A, Sindhi R. Analysis of national and single-center incidence and survival after liver transplantation for hepatoblastoma: new trends and future opportunities. Surgery. 2013 Feb;153(2):150-9. doi: 10.1016/j.surg.2012.11.006.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- IRB# 2018-02
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- Clinical Study Report (CSR)
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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